🌟 General Introduction 

In today’s data-driven world, artificial intelligence (AI) is no longer a futuristic concept—it’s a strategic asset that empowers leaders to make smarter, faster, and more informed decisions.

Managerial decision-making, once reliant solely on human intuition and experience, is now enhanced by intelligent systems that analyze vast datasets, predict trends, and offer actionable insights.

This 5-day workshop is designed to equip managers, analysts, and decision-makers with the knowledge and tools to integrate AI into their decision-making processes.

Participants will explore predictive analytics, machine learning models, and algorithmic decision support systems, while also addressing ethical and governance considerations.

Through hands-on exercises, real-world case studies, and interactive discussions, attendees will learn how to leverage AI to evaluate alternatives, reduce risk, and improve organizational performance.

Whether you're leading strategic planning, operations, or innovation, this workshop will help you harness the power of AI to make decisions that drive sustainable success.

👥 Target Audience

• Executives and department managers
• Digital transformation leaders
• Data analysts and decision-makers
• IT and innovation directors
• Business consultants and strategists
• Project and team leaders
• Strategic planning professionals
• Anyone involved in data-driven managerial decisions

🎯 Expected Outcomes

• Understand the fundamentals of AI and its role in decision-making
• Apply predictive analytics and machine learning to managerial challenges
• Use intelligent models to evaluate options and optimize outcomes
• Translate data into actionable insights for strategic decisions
• Address ethical and governance issues in AI-based decision-making
• Build a data-driven decision culture within the organization
• Design AI-powered solutions for operational and strategic needs
• Develop a roadmap for integrating AI into management practices

📚 Scientific Topics:

🔹 Module 1: Introduction to AI in Management

Session 1: Fundamentals of AI in the Business Context

• What is AI and how it differs from traditional analytics
• Key AI technologies relevant to management
• The value of AI in decision-making

Session 2: Types of Managerial Decisions Supported by AI

• Operational decisions
• Tactical decisions
• Strategic decisions

🔹 Module 2: Intelligent Analytics and Decision Support

Session 1: Predictive Analytics and Machine Learning

• Forecasting models
• Classification and clustering techniques
• Using historical data to predict outcomes

Session 2: Algorithmic Decision Support Systems

• Decision trees and optimization models
• Evaluating alternatives using AI
• Interactive decision tools

🔹 Module 3: Practical Applications in the Workplace

Session 1: Real-World Use Cases of AI in Management

• Human resources and talent analytics
• Supply chain and logistics optimization
• Financial planning and forecasting

Session 2: Designing Smart Managerial Solutions

• Building AI-powered decision models
• Integrating AI into daily operations
• Measuring impact and performance

🔹 Module 4: Ethical and Governance Considerations

Session 1: Ethical Challenges in AI-Driven Decisions

• Transparency and accountability
• Bias in algorithms
• Data privacy and protection

Session 2: Digital Governance for AI in Management

• Institutional policies and frameworks
• Oversight of intelligent systems
• Compliance with global standards

🔹 Module 5: Leading AI-Driven Organizational Change

Session 1: Building a Data-Driven Culture

• Promoting analytical thinking
• Training teams to use AI tools
• Engaging employees in digital transformation

Session 2: Roadmap for AI Integration in Management

• Implementation phases and milestones
• Success metrics and KPIs
• Sustainability and continuous improvement